siliconindia | | JULY 20239component of software development was a separate addition at the end of the development life cycle, usually by a different team and tested by a different team. However, following the DevOps philosophy of flexible integration, security development, and testing are integrated into every software development life cycle phase, with the process becoming more automated. This bypasses speed limitations on the software development life cycle and response to security issues. It also facilitates the detection of issues faster and earlier when they are quicker, easier, and less expensive to fix. Improved collaboration facilitated by team integration provides more efficient output and enhances software safety. DevOps emphasizes agility. Process agility is facilitated by increased automation. Kubernetes is the leading system for automating the processes involved in containerized application development, scaling, and management. It is open source and originally designed by Google. The system is designed to be flexible to respond to various needs and help users scale their operations without enlarging their operations teams. Benefits of the system include the capacity to automate rollouts and rollbacks, application monitoring, assistance with service discovery and load balancing, and load orchestration, among others. The way we conceptualize applications is changing. The trendy perspective is to view large applications as a number of smaller services that can each be independently managed, albeit still in communication with other components via lightweight protocols. These smaller components are called microservices. To generate a user response, multiple microservices may be called upon simultaneously. The edge microservices provide is that components can be independently managed, meaning that response, maintenance, and evolution are easier and faster. The app as a whole becomes less clunky in operation and more adaptive. Speed and flexibility are key components of DevOps culture. Serverless computing facilitates both and, consequently, is preferred by DevOps teams. The concept of serverless computing is an architectural model where computing services are provided on an as-used basis and in a flexible manner responsive to specific requirements. The cloud provider controls the backend and infrastructure maintenance, freeing DevOps teams to focus on the front end and services. This helps DevOps teams develop and deploy faster. It also facilitates quick maintenance and upgrade. The process lends itself to automation, enhancing the potential for rapid streamlining and refinement to achieve seamless functioning. Examples of providers offering serverless computing services include AWS Lambda, IBM open whisk, and Microsoft Azure, among others. Low-Code DevOps is an evolving trend in DevOps, albeit it's not a very common sight on the tech scene. A simple understanding of the concept of low-code DevOps is that it allies the philosophy of flexibility and speed associated with DevOps with the creation of low-code products. The benefit of this approach is that it enhances inclusion and collaboration. Non-DevOps team personnel can easily cross-skill and contribute effectively to the DevOps process, bypassing the barrier of a code-intensive process. Developers of all skill levels can build and contribute better to a low-code system. Artificial Intelligence for IT Operations (AI OPS) is a term that refers to the integration of AI into DevOps.The objectives behind this increased focus on Artificial Intelligence and Machine Learning integration into DevOps include increased automation, efficiency, and scalability. With AI in play, real-time detection and diagnosis of issues and solution creation based on historical patterns can be achieved. This, in turn, can potentially make the DevOps process more efficient, responsive, and fit for purpose. Like DevOps, GitOps is a modern software development and IT operations approach. However, unlike DevOps, that's essentially a culture set of best practices that can be flexibly applied, GitOps relies on a particular tool- Git. It functions as an operational framework that relies on Git repositories as a source of truth. A synergistic relationship between GitOps and DevOps can exist, especially concerning the Kubernetes system. GitOps can be utilized to promote DevOps practices in appropriate environments such as a Kubernetes cluster. When appropriately deployed, GitOps can accelerate workflow and boost efficiency for DevOps teams. Where Development and Operations were typically separate entities and teams in the traditional model, DevOps integrates them into a slimmer, more flexible, functional unit
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